Proceedings ArticleDOI
Flexible Quantization of Audio and Speech based on the Autoregressive Model
A. Ozerov,W.B. Kleijn +1 more
- pp 535-539
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TLDR
Experiments indicate that, compared with a non-scalable conventional fixed-rate code-excited linear predictive (CELP) coding scheme, the real time scalable coder with scalar quantization performs at least as well in the constrained entropy case, and has nearly identical performance for the constrained resolution case.Abstract:
We describe a coding scheme based on audio and speech quantization with an adaptive quantizer derived from the autoregressive model under high-rate assumptions The main advantage of this scheme compared to state-of-the-art training-based coders is its flexibility The scheme can adapt in real time to any particular rate and has a computational complexity independent of the rate Experiments indicate that, compared with a non-scalable conventional fixed-rate code-excited linear predictive (CELP) coding scheme, our real time scalable coder with scalar quantization performs at least as well in the constrained entropy case, and has nearly identical performance for the constrained resolution caseread more
Citations
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Journal Article
Distribution Preserving Quantization
TL;DR: In the lossy coding of perceptually relevant signals, such as sound and images, the ultimate goal is to achieve good perceived quality of the reconstructed signal, under a constraint on the bit-rat quality.
Journal Article
Quantization with Constrained Relative Entropy and Its Application to Audio Coding
Minyue Li,W. Bastiaan Kleijn +1 more
TL;DR: Conventional quantization distorts the probability density of the source, and in scenarios such as low bit rate audio coding, this leads to perceived distortion that is not well characterized by common criteria.
Journal ArticleDOI
Multiple Description Distribution Preserving Quantization
TL;DR: This work proposes a new MDQ designed according to an unconventional distortion criterion that combines the mean squared error with a constraint on the probability distribution of the reconstructed signal and significantly outperforms a classic MDQ in perceptual tests.
Proceedings Article
Perceptual coding-based informed source separation
TL;DR: It is shown how the perceptual quality of the separated sources can be improved by inserting perceptual source coding techniques in this framework, achieving a continuum of optimal bitrate-perceptual distortion trade-offs.
Dissertation
Processus gaussiens pour la séparation de sources et le codage informé
TL;DR: Cette analogie permet de placer la separation informee dans un cadre theorique plus global ou elle devient un probleme de codage particulier and beneficie a ce titre des resultats classiques de the theorie du codage, qui permettent d’optimiser efficacement les performances.
References
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Book
Speech Coding and Synthesis
TL;DR: An introduction to speech coding, W.B. Kleijn evaluation of speech coders, and a robust algorithm for pitch tracking (RAPT), D. McAulay and T.F. Quatieri waveform interpolation for coding and synthesis.
Book
Source coding theory
TL;DR: A comparison of the Bounds of Optimized VQ vs. Uniform Quantization Noise: Deterministic Inputs and Dithering and the Results of Exercises.
Journal ArticleDOI
PDF optimized parametric vector quantization of speech line spectral frequencies
A.D. Subramaniam,Bhaskar D. Rao +1 more
TL;DR: A low complexity quantization scheme using transform coding and bit allocation techniques which allows for easy mapping from observation to quantized value is developed for both fixed rate and variable rate systems.
Book ChapterDOI
Source Coding Theory
TL;DR: In what follows, a communication system as schematized by the block-diagram of Fig. 1.1 is referred to.
Proceedings ArticleDOI
High-quality 16 kb/s speech coding with a one-way delay less than 2 ms
TL;DR: A high-quality 16-kb/s speech coder which has a one-way coding delay of less than 2 ms is presented and formal subjective tests indicate that this coder produces high- quality speech comparable to that of the CCITT G.721 32- kb/s ADPCM standard.